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likoan [24]
4 years ago
10

Function or not?please heeeeeelp

Mathematics
2 answers:
iris [78.8K]4 years ago
6 0

Answer:

Not a function

Step-by-step explanation:

Hope this helps! have a nice day! Please consider making me Brainliest!

Lynna [10]4 years ago
4 0

Answer:

not a function

Step-by-step explanation:

the vertical line test.   if you can put a vertical line on the graph that goes through two points on the parrabola it is not a function

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A $1,200 computer is losing value at a rate of 22% per year; 2 years​
zalisa [80]

Answer:

$730.08

Step-by-step explanation:

22% = 0.22

1 - 0.22 = 0.78

Value after 2 years

v = 1200(0.78)²

v = 730.08

$730.08

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3 years ago
What is the difference of 3-4 and 2-4<br>A 5-4<br>B 1-4<br>C 5-8<br>D 1-8​
kirill [66]

Hey there! I'll try to provide you with my best answer.

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3 years ago
How do I make 2 3/4 into a decimal?
klasskru [66]
Well, 2 is a whole number so you keep that as a whole number.  3/4 is like money 4 quarters equals a dollar so how much is 3 quarters.  So the answer is 2.75

8 0
4 years ago
Typically, most job applications require all of the following information except. A. employment history. O B. references. C. sch
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5 0
3 years ago
Suppose a large shipment of laser printers contained 18% defectives. If a sample of size 340 is selected, what is the probabilit
Anestetic [448]

Answer:

The probability that the sample proportion will be greater than 13% is 0.99693.

Step-by-step explanation:

We are given that a large shipment of laser printers contained 18% defectives. A sample of size 340 is selected.

Let \hat p = <u><em>the sample proportion of defectives</em></u>.

The z-score probability distribution for the sample proportion is given by;

                         Z  =  \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n}}  }  ~ N(0,1)

where, p = population proportion of defective laser printers = 18%

            n = sample size = 340

Now, the probability that the sample proportion will be greater than 13% is given by = P(\hat p > 0.13)

         P(\hat p > 0.13) = P( \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n}}  } > \frac{0.13-0.18}{\sqrt{\frac{0.13(1-0.13)}{340}}  } ) = P(Z > -2.74) = P(Z < 2.74)

                                                                      = <u>0.99693</u>

The above probability is calculated by looking at the value of x = 2.74 in the  table which has an area of 0.99693.

5 0
4 years ago
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